Estimation of the Acute Myocardial Infarction Onset Time based on Time-Course Acquisitions.

Quantitative analysis of biochemical parameters is crucial for a correct diagnosis and prognosis of patients subject to acute myocardial infarction (AMI). In order to achieve a quantitative understanding of the dynamics of cardiac biomarkers, we have developed a mathematical model that can be exploited to extrapolate the release curve of cardiac troponin T (cTnT) into the plasma from few experimental acquisitions. The present work introduces a novel approach, based on the cTnT-release model, aimed at the identification of the infarct onset time.

Identification of the infarct time in patients with acute myocardial infarction.

In the present work, we introduce a novel technique to identify the infarct time from time-series meaurements of the cardiac troponin T (cTnT) into plasma. Although this information is extremely valuable from a clinical standpoint, it is not always possible to establish with certainty the exact infarct time. Here, we show how the infarct time can be reliably estimated from the cTnT release data in the first few hours after AMI, by using an optimization-based procedure and a model-based approach.

Delayed flow-mediated vasodilation and critical coronary stenosis.

Endothelial dysfunction, wall thickening and plaque are progressive manifestations of atherosclerosis. Delayed or absent brachial artery dilation after ischemic stimulus has been associated with severity of extracoronary and coronary atherosclerosis. In the current study, we aimed to verify if delayed or absent dilation associates with critical coronary stenosis.